Data Dictionary glossary

Variable name As it appears on the LSAC dataset
Variable name without age Useful for sorting together like variables from different waves and cohorts
Topic number Allows derived items to be sorted in with the input variables they come from
Question id
(i.e. variable name without age or subject/informant)
Useful for checking which informants were asked each question at each Wave
Position in file order Mainly useful for sorting questions back into file order (default option)
File Which of the LSAC data files the variable is contained in: either lsacconf0, lsacconf2, lsacconf4, lsacconf6
Wave Which wave (or waves) data was collected from for the variable
Cohort Indicator of whether the question is asked for the B- or K-cohort
Questionnaire position Location of question within questionnaires
Person label Subject/Informant for the variable
Child's age Age of child at time information is collected
Variable labels Describes the question/item
Topics The theme or content area
Construct This is like a sub-topic, more specific than the topic. See list of topic contructs
Measure Specific information on the measure that the variable is part of
Question The actual wording of the question that appears in the LSAC instruments
Response categories The actual wording of the response categories that appears in the LSAC instruments
Population Which cases should have valid (non-missing) for the variable
SAS format Format used in SAS to add value labels
Derived variable Is a variable that has been generated/created from other information collected
Item type This variable is designed to help users create customised lists of the variables for easier location of required variables. Fields have been classified into the following types:
  • Derived-compiles information from multiple input variables
  • Household - information on members off the study child's household
  • Input - variables as collected from questionnaire (can have limited alterations)
  • Linked - Census
  • Linked - NCAC
  • Mother/Father - variables converted from Parent 1/Parent 2
Notes Any other information on the variable that data users should be aware of

LSAC data user workshop

Registration is now open for the next LSAC data user workshop. 

Date: Tuesday 15 October 2019
Time: 9:00 am to 4:30 pm
Cost: $250 (full); $200 (student)
Venue: Australian Institute of Family Studies, Melbourne, Vic.

Workshops are run by AIFS to assist data users, those considering becoming users, or those who are interested in learning more about LSAC data, to gain confidence in understanding and navigating the datasets.

To register your interest or find out more, contact the LSAC Team at AIFS.

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